Data and AI Governance Lead

1 week ago


Pretoria, South Africa X, Bigly Labs Full time

At X, bigly labs , we’re Dis-Chem’s high-performance innovation hub, where bold ideas meet data, design, and radical customer focus. Our mission is simple: power the future of healthcare by lowering costs, improving outcomes, and unlocking new possibilities. We’re driven by one big question: How do we use data + technology today to create healthier lives tomorrow? Here, we don’t just imagine the future, we build it . From cutting‑edge digital solutions to smarter, patient‑focused experiences, we’re reimagining health tech to make breakthroughs possible. Welcome to X, bigly labs . This is healthcare, reimagined. From retail and pharmacy to clinics, insurance and beyond, we’re applying machine learning and smart systems to reimagine healthcare pathways and create personalised experiences at scale. Here, your work doesn’t sit in a notebook or on a whiteboard. It becomes real. It shapes decisions. It improves lives. And we do it all the Bigly way, questioning, challenging, and building audaciously, together. The Data and AI Governance Lead will embed and operationalise data governance principles and ethical Artificial Intelligence practices to significantly improve the trustworthiness, reliability, and responsible use of data and AI across the organisation. This role will lead the development and implementation of frameworks, using modern data science techniques and AI technology, that ensure data integrity, data quality, regulatory compliance, ethical AI deployment including secure and compliant data sharing with external parties. WHAT WE'RE LOOKING FOR? Minimum Bachelor’s degree in information management, information systems, Computer Science, or a related field. Certifications in Data Governance (e.g. DAMA). 7+ years in implementing enterprise-wide data governance frameworks and 4 years leading data governance teams. A solid understanding of AI and machine learning concepts and potential ethical implications. Strong background in business and/or process analysis. Experience managing cross-functional teams and governance workstreams. Familiar with data privacy laws (e.g., POPIA, GDPR), cybersecurity and AI regulatory trends. Advantageous Bachelor’s degree in philosophy, law or AI Ethics (or similar). Certifications in Responsible AI. Experience in healthcare, retail, or insurance.



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